Raul is a serial entrepreneur. He has created four companies in different fields in the mobile robotics space for warehouse automation and autonomous driving 3D perception. He has hired 200+ people and raised over $125 million including an IPO.
He worked with Cédric Hutchings, Outsight co-founder, at Inventel as a Program Manager, leading strategic projects that grew from the concept-phase to mass-production in several months. Following this, Raul co-founded and led Balyo (Mobile Robotics pioneer for logistics) from 2004 and left in 2017 after the IPO in order to focus on its newly created company Dibotics, the creator of the Augmented LiDAR and the world-first SLAM-on-Chip technology.
He received his degree in engineering from UPC (Barcelona, Spain) and MBA from College des Ingénieurs (Paris, France). Raul has obtained 35 different awards for his engineering and entrepreneur career, among them as best Spanish Engineer and the MIT Technology Review – Top 10 Innovators Under 35 and filed 31 patents.
He has been invited to speak at major Autonomous Driving and Robotics events such as AutoSens, IS Auto, ADAS Sensors, Automotive LiDAR conference, Autonomous Car Software Symposium, Cognitive Vehicles, Off-Road Autonomous Vehicles and many more.
Beyond Automotive applications, many other uses cases can leverage the unique value of 3D LiDAR data, including not only mobile robotics but also vehicle and pedestrian flow monitoring , security and industrial applications. However, effectively using LiDAR data in real-time is a complex, expensive, and a long endeavour even for the best 3D expert engineers. The lack of any standard makes it also even more challenging and threatens to slow down market adoption. In this presentation will show how a real-time pre-processing engine changes the game, allowing application developers and integrators to seamlessly use LiDAR data from any hardware supplier. Specific use cases and real-life LiDAR recordings will be used to illustrate the practical applications.